Research Specialist in Cancer Genomics to Integrate Basic Research and Clinical Data

ABSTRACT Human cancers are complex diseases with pathobiology driven by heritable genetics, environmental exposures, somatic genomic and epigenomic alterations, and contributions for immunological and other responses in the host micro- and macroenvironment. Cancer therapeutics overlay another dimension with respect to particular

vulnerabilities that underly concepts of precision medicine. Currently, integrating genome-scale data from

mechanistic ‘cause-effect’ laboratory-based studies to the pathobiology of in vivo tumors in the context of clinical care remains challenging. This proposal is designed to provide support for a highly skilled and productive scientist with expertise across laboratory, bioinformatics, and clinical medicine. The objectives are (i) to provide

biostatistical and bioinformatics skills for a range of program investigators that seek to bi-directional integration for the development and testing of hypotheses involving cancer genomics; (ii) to develop new approaches (modeling and computational tools) for the analyses and integration of genome-scale data; and (iii) apply rigor

and reproducibility in data annotation for submission/sharing of program genomics data to the research community.